Cybersecurity Data Analyst
Cybersecurity Data Analysts use data and ML to detect and prevent cyberattacks. They analyze logs, build anomaly detection systems, and investigate security incidents.
Median Salary
$155,000
Job Growth
Very High — cybersecurity is top priority
Experience Level
Entry to Leadership
Salary Progression
| Experience Level | Annual Salary |
|---|---|
| Entry Level | $100,000 |
| Mid-Level (5-8 years) | $155,000 |
| Senior (8-12 years) | $185,000 |
| Leadership / Principal | $215,000+ |
What Does a Cybersecurity Data Analyst Do?
Cybersecurity Data Analysts build data-driven security operations. They analyze security logs identifying suspicious activity. They develop anomaly detection systems flagging potential attacks. They investigate security incidents analyzing logs and behavior. They develop threat intelligence identifying new attack patterns. They measure security metrics. They work with security teams on incident response.
A Typical Day
Monitoring: Review security alerts. Investigate suspicious activity.
Analysis: Analyze logs to understand attack behavior.
Anomaly detection: Build ML models detecting abnormal behavior.
Investigation: Investigate confirmed security incidents.
Reporting: Document findings and incident analysis.
Metrics: Track security metrics and KPIs.
Communication: Report findings to security leadership.
Key Skills
Career Progression
Cybersecurity data analysts often progress to head of security analytics or Chief Information Security Officer roles.
How to Get Started
Security fundamentals: Network security, cryptography, common attacks.
Data analysis: Strong SQL and Python for log analysis.
Machine learning: ML for anomaly detection and threat detection.
Log analysis: Tools for analyzing security logs—Splunk, ELK Stack.
Domain: Work in security operations centers or security teams.
Certifications: Security certifications (Security+, CEH) are valuable.
Real incidents: Participate in incident response on real security events.
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Explore Track →Frequently Asked Questions
What do cybersecurity data analysts do day-to-day?▼
Analyze security logs for suspicious activity, build anomaly detection systems, investigate incidents, develop threat intelligence, measure security metrics.
What machine learning is used in cybersecurity?▼
Anomaly detection, clustering for attack pattern discovery, classification for threat categorization, time series for behavior analysis.
What's the biggest challenge in security analytics?▼
High false positive rate in anomaly detection. Attackers evolve techniques. Need to detect new attack types.
How important is domain knowledge in cybersecurity?▼
Critical. Understanding networks, protocols, common attacks is essential to build effective security systems.
Is cybersecurity data analysis a good career?▼
Excellent. Very high demand, good pay, meaningful impact on security.
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Last updated: 2026-03-07